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Advances in XML Information Retrieval and Evaluation

4th International Workshop of the Initiative for the Evaluation of XML Retrieval, INEX 2005, Dagstuhl Castle, Germany, November 28-30, 2005. Revised and Selected Papers

  • Conference proceedings
  • © 2006

Overview

Editors:
  1. Norbert Fuhr

    1. University of Duisburg-Essen, Duisburg, Germany

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  2. Mounia Lalmas

    1. Queen Mary, University of London, London, UK

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  3. Saadia Malik

    1. University Duisburg-Essen, Germany

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  4. Gabriella Kazai

    1. Microsoft Research Cambridge, United Kingdom

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 3977)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: INEX 2005.

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Table of contents (41 papers)

  1. Front Matter

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  2. Overview of INEX 2005

    • Saadia Malik, Gabriella Kazai, Mounia Lalmas, Norbert Fuhr
    Pages 1-15

  3. INEX 2005 Evaluation Measures

    • Gabriella Kazai, Mounia Lalmas
    Pages 16-29

  4. EPRUM Metrics and INEX 2005

    • Benjamin Piwowarski
    Pages 30-42

  5. HiXEval: Highlighting XML Retrieval Evaluation

    • Jovan Pehcevski, James A. Thom
    Pages 43-57

  6. The Interpretation of CAS

    • Andrew Trotman, Mounia Lalmas
    Pages 58-71

  7. TIJAH Scratches INEX 2005: Vague Element Selection, Image Search, Overlap, and Relevance Feedback

    • Vojkan Mihajlović, Georgina Ramírez, Thijs Westerveld, Djoerd Hiemstra, Henk Ernst Blok, Arjen P. de Vries
    Pages 72-87

  8. XFIRM at INEX 2005: Ad-Hoc and Relevance Feedback Tracks

    • Karen Sauvagnat, Lobna Hlaoua, Mohand Boughanem
    Pages 88-103

  9. The Effect of Structured Queries and Selective Indexing on XML Retrieval

    • Börkur Sigurbjörnsson, Jaap Kamps
    Pages 104-118

  10. Searching XML Documents – Preliminary Work

    • Marcus Hassler, Abdelhamid Bouchachia
    Pages 119-133

  11. Query Evaluation with Structural Indices

    • Paavo Arvola, Jaana Kekäläinen, Marko Junkkari
    Pages 134-145

  12. B 3-SDR and Effective Use of Structural Hints

    • Roelof van Zwol
    Pages 146-160

  13. Field-Weighted XML Retrieval Based on BM25

    • Wei Lu, Stephen Robertson, Andrew MacFarlane
    Pages 161-171

  14. XML Retrieval Based on Direct Contribution of Query Components

    • Gilles Hubert
    Pages 172-186

  15. Using the INEX Environment as a Test Bed for Various User Models for XML Retrieval

    • Yosi Mass, Matan Mandelbrod
    Pages 187-195

  16. The University of Kaiserslautern at INEX 2005

    • Philipp Dopichaj
    Pages 196-210

  17. Parameter Estimation for a Simple Hierarchical Generative Model for XML Retrieval

    • Paul Ogilvie, Jamie Callan
    Pages 211-224

  18. Probabilistic Retrieval, Component Fusion and Blind Feedback for XML Retrieval

    • Ray R. Larson
    Pages 225-239

  19. GPX – Gardens Point XML IR at INEX 2005

    • Shlomo Geva
    Pages 240-253

  20. Implementation of a High-Speed and High-Precision XML Information Retrieval System on Relational Databases

    • Kei Fujimoto, Toshiyuki Shimizu, Norimasa Terada, Kenji Hatano, Yu Suzuki, Toshiyuki Amagasa et al.
    Pages 254-267
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  1. Advances in XML Information Retrieval and Evaluation

Keywords

About this book

Content-oriented XML retrieval has been receiving increasing interest due to the widespread use of eXtensible Markup Language (XML), which is becoming a standard document format on the Web, in digital libraries,and publishing. By exploiting the enriched source of syntactic and semantic information that XML markup provides, XML information retrieval (IR) systems aim to implement a more focused retrieval strategy and return document components, so-called XML elements – instead of complete documents – in response to a user query. This focused retrieval approach is of particular bene?t for collections containing long documents or documents covering a wide variety of topics (e.g., books, user manuals, legal documents, etc.), where users’ e?ort to locate relevant content can be reduced by directing them to the most relevant parts of the documents. Implementing this, more focused, retrieval paradigm means that an XML IR system needs not only to ?nd relevant information in the XML documents, but it also has to determine the appropriate level of granularity to be returned to the user. In addition, the relevance of a retrieved component may be dependent on meeting both content and structural query conditions.

Editors and Affiliations

  • University of Duisburg-Essen, Duisburg, Germany

    Norbert Fuhr

  • Queen Mary, University of London, London, UK

    Mounia Lalmas

  • University Duisburg-Essen, Germany

    Saadia Malik

  • Microsoft Research Cambridge, United Kingdom

    Gabriella Kazai

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